Unilever Senior Data Scientist in Trumbull, Connecticut

Background & Purpose of the Job

Unilever is a leading multi-national “Fast Moving Consumer Goods” company, with world leading brands such as Lipton, Dove, Axe, Omo, Knorr, and Hellmans. Unilever has extensive R&D facilities around the globe with a mission to build brands through world-class innovation by unlocking science and technology. To meet the sustainable business growth challenge of the next decade, Unilever R&D aims to transform its approach to scientific discovery and product development, through a Digital Transformation program. The Digital R&D team is leading this transformation of R&D through programs in Big Data Analytics, Predictive modeling and Product Life Cycle Management with a view to driving speed, efficiency and connectivity of R&D.

The Modelling & Analytics team provides leading edge statistics, data science, data management, modelling and simulation expertise to deliver predictive models and advanced analytics for new insights to the category programs across all R&D functions. The focus of the Data Science team is in the design and planning of experiments, analyses of data, building and validating predictive models and interpretation and exploitation of outcomes together with the project team. The products and brands we support are across Unilever’s categories in Foods & Refreshment, Home Care and Beauty & Personal Care. We are looking for a Data Scientist who will support our Product Innovation and Science & Technology teams in R&D with insights gained from analyzing data.

Who You Are & What You’ll Do

The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action. They must have strong background in statistical modelling, experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.

This position will report into a Principal Scientist in Trumbull and become part of the global Core modeling and analytics team responsible for driving the development of predictive models and digital tools/capability to help drive the DRD vision of 100% in-silico first.

·Engagement and collaboration with globally deployed, multi-disciplinary teams to design and implement efficient, well-focused, statistically fit-for-purpose studies, analyze, visualize and interpret data, build and validate predictive models and simulations

·Work in inter- disciplinary teams that will include product formulators, process/packaging engineers, clinicians, measurement scientists, bio-informaticians, claim experts, and other data scientists, both internal to Unilever and external partners.

·Provision of data science/statistics expertise across a range of R&D disciplines to define and execute analytics and modelling approaches (e.g. trained panel and consumer studies, investigating key attributes and product preferences, assessment of product manufacturing processes to product quality)

·Develop custom data models and algorithms to apply to relevant data sets.

·Responsibility for the quality and defensibility of statistical analyses, models and data interpretation.

·Coordinate with different functional teams to implement models and monitor outcomes

You’re a born leader:You will need to lead the thinking and strategy around various modeling initiatives in your areas of responsibility

You’re a dot connector:You will need to have a good appreciation of activities in other areas of R&D and link them to initiatives you are involved in.

You’re a story teller:You will need to convey complex concepts and findings in a matter that resonates with non-experts and clearly demonstrates business value

You’re a teacher:You will need to engage and mentor people in basic statistical approaches such as Analysis of variance, PCA, and statistical design of experiments.

You’re a culture & change champion:You will need to facilitate new ways of working and help people to transition to using digital tools and models

What You’ll Need To Succeed

The candidate should have a master’s degree or equivalent experience in Statistics, Mathematics or Data Science/Computer Science. Experience in FMCG/Retail/Pharmaceutical industries is a plus.

Technical Skills:

•Technical depth, operational breadth and demonstrated fluency in applying statistics/data analytics in scientific research.

•Hands-on technical expertise in data management and visualization

•Strong technical background in multivariate statistical methods e.g. PCA, PLS and machine learning methods and designing simulations (knowledge of Bayesian Methods a plus).

•Good understanding of the underlying principles/best practices to build and validate predictive models.Relevant experience is a plus.

•Experience working with and creating data architectures.

•Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.

•Strong expertise in Design and Analysis of Experiments (DOE)

•Hands-on experience with professional statistical software such as SAS, R and JMP. Familiarity with Azure Platform and computer programming skills will be considered a plus.

•Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets.

•Knowledge of product development processes including packaging and manufacturing

Soft Skills:

•Strong problem-solving skills with focus on business delivery

•Strong interpersonal skills; strong oral and written communication skills.

•Ability to collaborate and consult effectively in global teams across time-zones and cultures

•A drive to learn and master new technologies and techniques

•Ability to work with uncertainty and to create and manage change

What We Can Offer You

Culture for Growth|Top Notch Employee Health & Well Being Benefits|Every Voice Matters|Global Reach|Life at Unilever|Careers with Purpose|World Class Career Development Programs|Check Out Our Space|Focus On Sustainability

Unilever is an organization committed to diversity and inclusion to drive our business results and create a better future every day for our diverse employees, global consumers, partners, and communities. We believe a diverse workforce allows us to match our growth ambitions and drive inclusion across the business.

Equal Opportunity/Affirmative Action Employer Minorities/Females/Protected Veterans/Persons with Disabilities

Applicants and employees are protected from discrimination under Federal law. For more information, please seeEEO is the Law

Employment is subject to verification of pre-screening tests, which may include drug screening, background check, credit check and DMV check.

Job: Research/Development

Primary Location: United States-Connecticut-Trumbull-Trumbull -40 Merritt Blvd

Schedule: Full-time

Shift: Day Job

Unposting Date: Ongoing

Req ID: 18000FO2